{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T17:29:51Z","timestamp":1787074191735,"version":"build-2736575974"},"reference-count":40,"publisher":"JMIR Publications Inc.","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JMIR Med Inform"],"abstract":"Abstract<\/jats:title>\n \n Background<\/jats:title>\n Efficiently finding and exploring relevant health studies is critical for informed, evidence-based health care. However, study information remains distributed across multiple resources, hindering interoperability, search, and reuse. Enhancing the findability of study data is a key challenge in promoting the findability, accessibility, interoperability, and reusability (FAIR) principles in health research.<\/jats:p>\n <\/jats:sec>\n \n Objective<\/jats:title>\n This study aimed to improve the findability and comparability of health studies by developing a semantically enriched graph-based framework that supports intuitive search and exploration for diverse stakeholders, including clinicians, researchers, and patients.<\/jats:p>\n <\/jats:sec>\n \n Methods<\/jats:title>\n We developed the BRAinS-Graph (\u201cBiomedical Knowledge Graph for Recommending and Analysing Health Studies\u201d), a semantically enriched knowledge base that integrates data from ClinicalTrials.gov, the Portal for Medical Data Models, the Unified Medical Language System, and MeSH into a single graph database. The framework applies an extract-transform-load process to integrate heterogeneous data structures and link related information across study resources and biomedical ontologies.<\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n The BRAinS-Graph supports fine-grained, semantic searches across study metadata, eligibility criteria, and structural properties. Use cases illustrate its potential for clinicians, patients, and researchers, including analyses of study type distributions for meta-analyses and the identification of studies relevant to individual patients.<\/jats:p>\n <\/jats:sec>\n \n Conclusions<\/jats:title>\n By integrating heterogeneous study data into one interconnected knowledge base, the BRAinS-Graph improves the findability, accessibility, and reusability of study information. This work establishes a foundation for graph-based study recommendation systems and cross-institutional research infrastructures.<\/jats:p>\n <\/jats:sec>","DOI":"10.2196\/86812","type":"journal-article","created":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T02:15:07Z","timestamp":1780539307000},"page":"e86812-e86812","source":"Crossref","is-referenced-by-count":0,"title":["Enhanced Health Study Discoverability: Graph-Based Analysis Approach"],"prefix":"10.2196","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5504-5108","authenticated-orcid":false,"given":"Lea","family":"G\u00fctebier","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4121-7161","authenticated-orcid":false,"given":"Stefan","family":"Gro\u00df","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1632-4328","authenticated-orcid":false,"given":"Benjamin","family":"Winter","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9816-0445","authenticated-orcid":false,"given":"Max","family":"Blumenstock","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9740-0788","authenticated-orcid":false,"given":"Martin","family":"Dugas","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1446-4423","authenticated-orcid":false,"given":"Volkmar","family":"Liebscher","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5886-5563","authenticated-orcid":false,"given":"Dagmar","family":"Waltemath","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6211-2719","authenticated-orcid":false,"given":"Ron","family":"Henkel","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1010","published-online":{"date-parts":[[2026,8,18]]},"reference":[{"issue":"2","key":"R1","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1007\/s13222-024-00477-2","article-title":"Making epidemiological and clinical studies FAIR using the example of COVID-19","volume":"24","author":"Pigeot","journal-title":"Datenbank Spektrum"},{"issue":"1","key":"R2","doi-asserted-by":"publisher","first-page":"513","DOI":"10.1186\/s13063-019-3627-6","article-title":"Clinical trial data reuse - overcoming complexities in trial design and data sharing","volume":"20","author":"Wilkinson","journal-title":"Trials"},{"issue":"12","key":"R3","doi-asserted-by":"publisher","DOI":"10.1136\/bmjopen-2017-018647","article-title":"Sharing and reuse of individual participant data from clinical trials: principles and recommendations","volume":"7","author":"Ohmann","journal-title":"BMJ Open"},{"key":"R4","doi-asserted-by":"publisher","DOI":"10.1038\/sdata.2016.18","article-title":"The FAIR Guiding Principles for scientific data management and stewardship","volume":"3","author":"Wilkinson","journal-title":"Sci Data"},{"issue":"9","key":"R5","doi-asserted-by":"publisher","first-page":"852","DOI":"10.1056\/NEJMsa1012065","article-title":"The ClinicalTrials.gov results database--update and key issues","volume":"364","author":"Zarin","journal-title":"N Engl J Med"},{"key":"R6","unstructured":"International Standards for Clinical Trial Registries: the registration of all interventional trials is a scientific, ethical and moral responsibility. 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